Top Tech Jobs & Startup Jobs in Los Angeles, CA

The Graduate SDR will generate leads, conduct outbound campaigns, secure meetings for AEs, and collaborate on sales strategy in a fast-paced environment.

Assist in developing an Automated Quoting Portal by building quoting logic, designing user-friendly interfaces, automating quote workflows, and ensuring quoting accuracy.

Lead growth marketing and community initiatives for Ares, focusing on prediction markets. Responsibilities include content strategy, community engagement, and market feedback.

As an AI Systems Analyst Intern, you will design AI workflows, assess AI platforms, and contribute to operational development for an investment firm.

The Marketing & Community Lead will manage Flow's social presence, develop narratives, coordinate marketing launches, and engage with the crypto community to amplify brand awareness.

Manage and optimize site content and embeds via the CMS, monitor breaking sports news and produce editorial content, use Google Analytics/Search Console and dashboards to identify opportunities, support commercial and partner queries, provide weekend/evening CRM and social coverage, run site audits, and escalate issues to Product/Development.

Project-based strategy consultant supporting education-sector clients on market research, framework development, primary research, data analysis, and client presentations. Work closely with senior firm leaders to generate recommendations and support engagement delivery (25–45 hours/week, flexible start dates).

The Sales Development Rep identifies and qualifies sales opportunities in enterprise accounts, collaborates with Account Executives, and maintains CRM updates to set qualified meetings.

Own full-cycle recruiting for technical roles, partner with hiring managers to define roles, source and close candidates, build scalable systems and pipelines, optimize hiring with data, and support a global, remote people team while acting as a culture ambassador.

Design, build, and productionize scalable AI systems for autonomous detection, RAG-backed investigations, and auto-remediation. Develop LLMs, graph-based reasoning engines, streaming pipelines, evaluation/red-team processes, and collaborate with cross-functional teams to translate attacker behavior into robust detections.